dask-ml

Scalable Machine Learning with Dask

https://github.com/dask/dask-ml

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
✓
Committers with academic emails
6 of 90 committers (6.7%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (9.8%) to scientific vocabulary

Keywords

hacktoberfest

Keywords from Contributors

alignment flexible closember distributed gbm parallel-computing gbrt gbdt data-mining parallel

Last synced: 10 months ago · JSON representation

Repository

Scalable Machine Learning with Dask

Basic Info

Host: GitHub
Owner: dask
License: bsd-3-clause
Language: Python
Default Branch: main
Homepage: http://ml.dask.org
Size: 98.1 MB

Statistics

Stars: 942
Watchers: 38
Forks: 260
Open Issues: 284
Releases: 13

Topics

hacktoberfest

Created about 9 years ago · Last pushed about 1 year ago

Metadata Files

Readme Contributing License

README.rst

Dask-ML
=======

|Build Status| |Azure Pipelines| |Coverage| |Doc Status| |Discourse| |Version Status| |NumFOCUS|

Dask-ML provides scalable machine learning in Python using `Dask `__ alongside popular machine learning libraries like `Scikit-Learn `__, `XGBoost `__, and others.

You can try Dask-ML on a small cloud instance by clicking the following button:

.. image:: https://mybinder.org/badge.svg
   :target: https://mybinder.org/v2/gh/dask/dask-examples/main?filepath=machine-learning.ipynb

LICENSE
-------

New BSD. See `License File `__.

.. _documentation: https://dask.org
.. |Build Status| image:: https://github.com/dask/dask-ml/workflows/CI/badge.svg?branch=main
   :target: https://github.com/dask/dask-ml/actions?query=workflow%3A%22CI%22
.. |Azure Pipelines| image:: https://dev.azure.com/dask-dev/dask/_apis/build/status/dask.dask-ml?branchName=main
   :target: https://dev.azure.com/dask-dev/dask/_build/latest?definitionId=1&branchName=main
.. |Coverage| image:: https://codecov.io/gh/dask/dask-ml/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/dask/dask-ml/branch/main
   :alt: Coverage status
.. |Doc Status| image:: https://readthedocs.org/projects/ml/badge/?version=latest
   :target: https://ml.dask.org/
   :alt: Documentation Status
.. |Discourse| image:: https://img.shields.io/discourse/users?logo=discourse&server=https%3A%2F%2Fdask.discourse.group
   :alt: Discuss Dask-related things and ask for help
   :target: https://dask.discourse.group
.. |Version Status| image:: https://img.shields.io/pypi/v/dask-ml.svg
   :target: https://pypi.python.org/pypi/dask-ml/
.. |NumFOCUS| image:: https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A
   :target: https://www.numfocus.org/

Owner

Name: dask
Login: dask
Kind: organization

Website: https://dask.org/
Twitter: dask_dev
Repositories: 50
Profile: https://github.com/dask

GitHub Events

Total

Create event: 2
Release event: 1
Issues event: 19
Watch event: 45
Delete event: 1
Issue comment event: 46
Push event: 10
Pull request review comment event: 13
Pull request review event: 14
Pull request event: 12
Fork event: 7

Last Year

Create event: 2
Release event: 1
Issues event: 19
Watch event: 45
Delete event: 1
Issue comment event: 46
Push event: 10
Pull request review comment event: 13
Pull request review event: 14
Pull request event: 12
Fork event: 7

Committers

Last synced: 10 months ago

All Time

Total Commits: 744
Total Committers: 90
Avg Commits per committer: 8.267
Development Distribution Score (DDS): 0.738

Past Year

Commits: 5
Committers: 3
Avg Commits per committer: 1.667
Development Distribution Score (DDS): 0.6

Top Committers

Name	Email	Commits
Tom Augspurger	t**r@g**m	195
Tom Augspurger	T**r@u**m	163
Jim Crist	c**2@u**u	84
Matthew Rocklin	m**n@g**m	32
Scott Sievert	s**t@u**m	31
James Bourbeau	j**u@u**m	29
James Bourbeau	j**u@g**m	27
Scott Sievert	d**v@s**m	22
Scott Sievert	g**b@s**m	15
Thomas Fan	t**n@g**m	9
James Lamb	j**0@g**m	7
Jim Crist	j**t@u**m	7
Abdulelah Bin Mahfoodh	a**m@g**m	5
Jim Crist	j**t@g**m	5
Mike McCarty	m**y@n**m	5
Ray Bell	r**0@g**m	5
Tom Augspurger	t**8@g**m	4
Hristo	h**g@u**m	4
Eric Czech	e**h@g**m	3
Jacob Tomlinson	j**n@u**m	3
Jan Koch	J**h@t**e	3
Ryan Deak	r**k@z**m	3
severo	d**o@g**m	3
Robert Sare	r**e@g**m	2
Chiara Marmo	c**o@u**m	2
Guillaume Lemaitre	g**8@g**m	2
J42994	j**h@e**m	2
Joris Van den Bossche	j**e@g**m	2
Julia Signell	j**l@g**m	2
Julien Jerphanion	g**t@j**z	2
and 60 more...

Committer Domains (Top 20 + Academic)

stsievert.com: 2 zefr.com: 2 umn.edu: 1 nvidia.com: 1 tu-dortmund.de: 1 eon.com: 1 jjerphan.xyz: 1 saturncloud.io: 1 utexas.edu: 1 lapre.com: 1 bu.edu: 1 columbia.edu: 1 ymail.com: 1 capitalone.com: 1 pm.me: 1 binghamton.edu: 1 simon-sander.de: 1 microsoft.com: 1 space-intelligence.com: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time

Total issues: 107
Total pull requests: 65
Average time to close issues: 9 months
Average time to close pull requests: 3 months
Total issue authors: 84
Total pull request authors: 28
Average comments per issue: 3.75
Average comments per pull request: 1.77
Merged pull requests: 35
Bot issues: 2
Bot pull requests: 0

Past Year

Issues: 13
Pull requests: 13
Average time to close issues: 22 days
Average time to close pull requests: about 1 month
Issue authors: 10
Pull request authors: 5
Average comments per issue: 1.23
Average comments per pull request: 3.08
Merged pull requests: 7
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

TomAugspurger (7)
SultanOrazbayev (3)
phobson (3)
GaetanLepage (3)
mobigroup (3)
sh2022515 (2)
jrbourbeau (2)
flying-sheep (2)
mmccarty (2)
brian-methodical (2)
Zethson (2)
trivialfis (2)
github-actions[bot] (2)
ivirshup (2)
ayushdg (1)

Pull Request Authors

TomAugspurger (14)
mmccarty (7)
jrbourbeau (7)
cmarmo (3)
VibhuJawa (3)
npk7 (2)
gforsyth (2)
fujiisoup (2)
GaetanLepage (2)
wietzesuijker (2)
pr38 (2)
scharlottej13 (2)
jacobtomlinson (2)
pavithraes (1)
ayushdg (1)

Top Labels

Issue Labels

good first issue (3) Algorithm (2) needs triage (2) Needs Info (2) upstream (2) metric (1) dataframe (1) Documentation (1) bug (1) Roadmap (1)

Pull Request Labels

upstream (1)

Packages

Total packages: 4
Total downloads:
- pypi 116,553 last-month
Total docker downloads: 1,185,626

Total dependent packages: 42
(may contain duplicates)
Total dependent repositories: 346
(may contain duplicates)
Total versions: 131
Total maintainers: 2

pypi.org: dask-ml

A library for distributed and parallel machine learning

Homepage: https://github.com/dask/dask-ml
Documentation: https://dask-ml.readthedocs.io/
License: Copyright (c) 2017, Anaconda, Inc. and contributors All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Anaconda nor the names of any contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Latest release: 2025.1.0
published over 1 year ago

Versions: 38
Dependent Packages: 35
Dependent Repositories: 190
Downloads: 116,553 Last month
Docker Downloads: 1,185,626

Rankings

Dependent packages count: 0.4%

Docker downloads count: 0.8%

Downloads: 0.8%

Dependent repos count: 1.1%

Average: 1.4%

Stargazers count: 2.1%

Forks count: 3.4%

Maintainers (2)

tomaugspurger jrbourbeau

Last synced: 10 months ago

proxy.golang.org: github.com/dask/dask-ml

Documentation: https://pkg.go.dev/github.com/dask/dask-ml#section-documentation
License: bsd-3-clause
Latest release: v2025.1.0+incompatible
published over 1 year ago

Versions: 43
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.5%

Average: 5.7%

Dependent repos count: 5.9%

Last synced: 10 months ago

conda-forge.org: dask-ml

Distributed and parallel machine learning using dask.

Homepage: https://github.com/dask/dask-ml
License: BSD-3-Clause
Latest release: 2022.5.27
published about 4 years ago

Versions: 27
Dependent Packages: 6
Dependent Repositories: 78

Rankings

Dependent repos count: 4.0%

Dependent packages count: 9.0%

Average: 9.6%

Forks count: 11.4%

Stargazers count: 13.8%

Last synced: 11 months ago

anaconda.org: dask-ml

Dask-ML provides scalable machine learning in Python using Dask alongside popular machine learning libraries like Scikit-Learn, XGBoost, and others.

Homepage: https://github.com/dask/dask-ml
License: BSD-3-Clause
Latest release: 2025.1.0
published over 1 year ago

Versions: 23
Dependent Packages: 1
Dependent Repositories: 78

Rankings

Dependent repos count: 20.7%

Forks count: 21.3%

Average: 24.5%

Stargazers count: 25.3%

Dependent packages count: 30.6%

Last synced: 10 months ago

Dependencies

setup.py pypi

dask *

.github/workflows/docs.yaml actions

JamesIves/github-pages-deploy-action 3.7.1 composite
actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/lint.yaml actions

actions/checkout v3 composite
actions/setup-python v3 composite
pre-commit/action v3.0.0 composite

.github/workflows/release.yaml actions

actions/checkout v2 composite
actions/setup-python v2 composite

.github/workflows/tests.yaml actions

actions/checkout v2 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/upstream.yml actions

actions/checkout v2 composite
actions/github-script v3 composite
conda-incubator/setup-miniconda v2 composite
xarray-contrib/ci-trigger v1 composite